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» Making inferences with small numbers of training sets
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CSL
2007
Springer
14 years 11 months ago
Discriminative n-gram language modeling
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Brian Roark, Murat Saraclar, Michael Collins
INTERSPEECH
2010
14 years 6 months ago
Semi-supervised extractive speech summarization via co-training algorithm
Supervised methods for extractive speech summarization require a large training set. Summary annotation is often expensive and time consuming. In this paper, we exploit semisuperv...
Shasha Xie, Hui Lin, Yang Liu
PR
2006
112views more  PR 2006»
14 years 11 months ago
Understanding gestures with systematic variations in movement dynamics
Sign language communication includes not only lexical sign gestures but also grammatical processes which represent inflections through systematic variations in sign appearance. We...
Sylvie C. W. Ong, Surendra Ranganath, Yedatore Ven...
ACL
2011
14 years 3 months ago
Which Noun Phrases Denote Which Concepts?
Resolving polysemy and synonymy is required for high-quality information extraction. We present ConceptResolver, a component for the Never-Ending Language Learner (NELL) (Carlson ...
Jayant Krishnamurthy, Tom Mitchell
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 6 months ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...